Friday, August 29, 2025

Is Code the Enterprise AI Killer App?

Is code generation the first “killer app” for language models or mostly the killer app for enterprise users? 


Since 2024, one might argue, model spending on language model application programming interfaces has more than doubled. Where model development might have driven spending in prior years, inference now seems to be driving growth. 

source: Menlo Ventures 


According to Menlo Ventures, Anthropic has surged to the lead in enterprise market share, while OpenAI has lost share. Google’s Gemini growth rate also parallels that of Anthropic. 

source: Menlo Ventures 


And there seems ample reason to believe that, at least in the enterprise portion of the market, the drive to gain share fast, and invest heavily in upgraded models, has a clear customer logic. Enterprise customers do not tend to switch model suppliers once they have made a decision. But they also will upgrade based on access to better performance.


The former preference encourages the importance of gaining share fast, as once an enterprise commits to a particular platform, it will tend to stay. The latter preference explains the intense effort to produce more-capable model versions, as that drives model upgrade or switching behavior on any platform. 


So performance clearly matters for retention, not simply customer acquisition. 

source: Menlo Ventures 


So where an order of magnitude price drop might convince many consumers to use an “older” model, enterprise users tend to behave differently, preferring to buy the latest and most-capable model. 


source: Menlo Ventures 


Consumer trends are different, of course. Most consumers use the free versions of models. That has meant the monetization model is converting users of the unpaid versions to model subscriptions. But Menlo Ventures does not believe that will be the dominant form of monetization in the future, anymore than subscriptions have been the driver for search, social media or e-commerce. 


source: Menlo Ventures 


“The biggest long-term monetization opportunities won’t be subscriptions,” a Menlo Ventures report argues. “We expect rapid adoption of advertising models, transaction fees, affiliate revenue, and marketplace models.”


In the near term, others might say subscriptions are going to remain the leading direct monetization model. 


Stage

Dominant Monetization Models

Example Contexts

Today (2024–2025)

Subscription, API billing, in-app upgrades

ChatGPT, Copilot

Near-term (2025–2026)

Affiliate links, transactional agents, SaaS hybrid

AI travel planners, creative tools

Mid-term (2026–2028)

Task-based pricing, agent commissions, smart bundling

AI exec assistants, recruiting agents

Long-term (2028–2030)

Ubiquitous embedded AI, conversational ads, OEM/device-based

Voice wearables, car copilots, ambient AI


Of course, different models are going to make more sense than others, depending on the use case. What makes sense for an autonomous or embodied deployment will not make as much sense for transaction use cases or content consumption. 


Monetization Model

Consumer Trust

Scalability

Fit for Autonomous AI

Subscription

High

High

High

Transaction/Outcome Pricing

Medium–High

Medium

Very High

Affiliate/Referral

Medium

High

High

Conversational Ads

Low–Medium

Very High

High

In-app AI Features

High

High

Medium

Embedded in Devices/OS

High

Very High

High

Data-for-Access Models

Low

High

Medium


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